Skip to main content

Advertisement

Log in

Patient and Physician Predictors of Post-Fracture Osteoporosis Management

  • Original Article
  • Published:
Journal of General Internal Medicine Aims and scope Submit manuscript

Abstract

Background

Undertreatment of osteoporosis after hip or wrist fracture has been well documented, but the reasons for current patterns of care are poorly understood.

Objective

We tested the role of physician and patient characteristics in predicting undertreatment when osteoporosis management was clearly indicated after a hip or wrist fracture in women over age 65.

Methods

We assembled a cohort of 9,698 female Medicare beneficiaries aged ≥65 years who experienced hip or wrist fracture between 2000 and 2004 and their prescribing physicians.

Measurements

The dominant prescriber was identified as the physician prescribing at least 50% of patient prescriptions in the year after the fracture. Multivariate logistic regression estimated the role of physician and patient characteristics on osteoporosis management after hip or wrist fracture.

Results

Patients older than 90 and black patients were less likely to be treated for osteoporosis relative to patients aged 65–69 and white patients. Female providers were more likely to manage osteoporosis. Models including patient characteristics discriminated well between managed and unmanaged patients (C statistic 0.81), while adding physician predictors to the model provided no additional discriminatory ability (C statistic 0.81).

Conclusions

Our findings highlight that osteoporosis management rates are similar across providers, but vary considerably by patient types.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1

Similar content being viewed by others

References

  1. Burge R, Dawson-Hughes B, Solomon DH, Wong JB, King A, Tosteson A. Incidence and economic burden of osteoporosis-related fractures in the United States, 2005 2025. J Bone Miner Res. 2007;22:465–75.

    Article  PubMed  Google Scholar 

  2. Solomon DH, Finkelstein JS, Katz JN, Mogun H, Avorn J. Underuse of osteoporosis medications in elderly patients with fractures. Am J Med. 2003;115:398–400.

    Article  PubMed  Google Scholar 

  3. Andrade SE, Majumdar SR, Chan KA, Buist SM, Go AS, Goodman M, et al. Low Frequency of Treatment of Osteoporosis Among Postmenopausal Women Following a Fracture. Arch Intern Med. 2003;163:2052–7.

    Article  PubMed  Google Scholar 

  4. Choudhry NK, Fletcher RH, Soumerai SB. Systematic review: the relationship between clinical experience and quality of health care. Ann Intern Med. 2005;142:260–W-30.

    PubMed  Google Scholar 

  5. Kessler RC, Berglund P, Demler O, Jin R, Koretz D, Merikangas KR, et al. The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). JAMA. 2003;289:3095–105.

    Article  PubMed  Google Scholar 

  6. Tu JV, Austin PC, Chan BTB. Relationship between annual volume of patients treated by admitting physician and mortality after acute myocardial infarction. JAMA. 2001;285:3116–22.

    Article  PubMed  CAS  Google Scholar 

  7. Epstein SA, Gonzales JJ, Weinfurt K, Boekeloo B, Yuan N, Chase G. Are psychiatrists’ characteristics related to how they care for depression in the medically Ill?: Results from a National Case-Vignette Survey. Psychosomatics. 2001;42:482–9.

    Article  PubMed  CAS  Google Scholar 

  8. Turchin A, Shubina M, Chodos AH, Einbinder JS, Pendergrass ML. Effect of board certification on antihypertensive treatment intensification in patients with diabetes mellitus. Circulation. 2008;117:623–8.

    Article  PubMed  CAS  Google Scholar 

  9. Solomon DH, Brookhart MA, Gandhi TK, Karson A, Gharib S, Orav EJ, et al. Adherence with osteoporosis practice guidelines: a multilevel analysis of patient, physician, and practice setting characteristics. Am J Med. 2004;117:919–24.

    Article  PubMed  Google Scholar 

  10. Cadarette Sea. Access to osteoporosis treatment is critically linked to access to dual-energy X-ray absorptiometry testing. Med Care. 2007;45:6.

    Article  Google Scholar 

  11. Cadarette SMG, Monique AM, Jaglal SB, Beaton DB, Hawker GA. Access to osteoporosis treatment is critically linked to access to dual-energy X-Ray absorptiometry testing. Med Care. 2007;in press.

  12. Ray WA, Griffin MR, Fought RL, Adams ML. Identification of fractures from computerized medicare files. J Clin Epidemiol. 1992;45:703–14.

    Article  PubMed  CAS  Google Scholar 

  13. Choudhry NK, Soumerai SB, Normand S-LT, Ross-Degnan D, Laupacis A, Anderson GM. Warfarin prescribing in atrial fibrillation: the impact of physician, patient, and hospital characteristics. Am J Med. 2006;119:607–15.

    Article  PubMed  Google Scholar 

  14. Raiford DS, Gutthann SP, Garcia Rodriguez LA. Positive predictive value of ICD-9 codes in the identification of cases of complicated peptic ulcer disease in the Saskatchewan Hospital Automated Database. [Article]. Epidemiology January 1996;7(1):101–104. 1996; 7: 101–04.

  15. Piccola JE. Prescription drugs for senior citizens. Vol. 10/1/2007. State Senator Jeffrey Piccola, 15th District, PA.

  16. Measuring Rurality. Washington DC: U.S. Department of Agriculture 2004.

  17. Solomon DH, Schneeweiss S, Glynn RJ, Levin R, Avorn J. Determinants of selective cyclooxygenase-2 inhibitor prescribing: are patient or physician characteristics more important? Am J Med. 2003;115:715–20.

    Article  PubMed  CAS  Google Scholar 

  18. Hosmer DaSL. Applied logistic regression, 2nd edn. New York City: John Wiley and Sons; 2000.

    Google Scholar 

  19. Ko DT, Mamdani M, Alter DA. Lipid-lowering therapy with statins in high-risk elderly patients: the treatment-risk paradox. JAMA. 2004;291:1864–70.

    Article  PubMed  CAS  Google Scholar 

  20. Unequal Treatment: Confronting Racial and Ethnic Disparities in Health Care. Institute of Medicine 2002.

  21. Solomon D, Polinski J, Stedman M, Truppo C, Breiner L, Egan C, et al. Improving care of patients at-risk for osteoporosis: a randomized controlled trial. J Gen Intern Med. 2007;22:362–7.

    Article  PubMed  Google Scholar 

  22. Solomon DH, Katz JN, Finkelstein JS, Polinski JM, Stedman M, Brookhart MA, et al. Osteoporosis improvement: a large-scale randomized controlled trial of patient and primary care physician education. J Bone Miner Res. 2007;22:1808–15.

    Article  PubMed  Google Scholar 

  23. Solomon DH, Morris C, Hailu C, Cabral D, Katz JN, Finkelstein JS, et al. Medication use patterns for osteoporosis: an assessment of guidelines, treatment rates, and quality improvement interventions. Mayo Clin Proc. 2005;80:194–202.

    Article  PubMed  Google Scholar 

  24. Macinko J SBaSL. Quantifying the health benefits of primary care phsycian supply in the United States. Int J Health Serv. 2007;37:16.

    Article  Google Scholar 

  25. Starfield B, Shi L, Grover A, Macinko J. The effects of specialist supply on populations’ health: assessing the evidence. Health Aff. 2005: hlthaff.w5.97.

  26. Chen JRS, Wang Y, Radford MJ, Krumholz HM. Physician board certification and the care and outcomes of elderly patients with acute myocardial infarction. J Gen Intern Med. 2006;21:7.

    CAS  Google Scholar 

  27. Epstein S. Update of current therapeutic options for the treatment of postmenopausal osteoporosis. Clinical Ther. 2006;28:151–73.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

Funding

Dr. Solomon is supported by NIH R21 AG027066, NIH P60 AR047782, and Pfizer

Dr. Cadarette is supported by a Post-Doctoral Fellowship from the Canadian Institutes of Health Research.

Conflicts of Interest

None disclosed.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Adam E. Block PhD.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Block, A.E., Solomon, D.H., Cadarette, S.M. et al. Patient and Physician Predictors of Post-Fracture Osteoporosis Management. J GEN INTERN MED 23, 1447–1451 (2008). https://doi.org/10.1007/s11606-008-0697-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11606-008-0697-7

KEY WORDS

Navigation